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Practical thinking
on data intelligence.

No thought leadership for its own sake. Only ideas that change how growth teams use data.

Churn Analysis

The 3 churn signals most SaaS teams ignore until it's too late

Most churn prediction models look at the wrong signals. Here are the three behavioural indicators that predict cancellation 60–90 days out — and how to act on them.

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MTU Growth

Why Monthly Transacting Users beats MAU for growth decisions

MAU tells you who logged in. MTU tells you who gave you money. The difference in those two numbers contains your entire growth problem.

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Customer Profiling

RFM segmentation: why most implementations get the R wrong

Recency is the most powerful RFM variable — and the most commonly miscalculated. Here's how a small change to how you measure it completely changes your segment outputs.

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Marketing Optimisation

Last-click attribution is costing you more than you think

If your marketing decisions are based on last-click data, you are systematically over-investing in channels that close and under-investing in the ones that actually create demand.

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Business Dashboards

The real reason dashboards don't get used — and how to fix it

95% of dashboard failures are not technical. They happen because the dashboard was built around available data, not around the decisions that need to be made. Here's the fix.

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Competitor Analysis

How to build a competitor intelligence system that stays current

One-time competitor research is obsolete in six months. Here is the lightweight monitoring framework that keeps you updated without consuming analyst time every week.

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